/*
 * Miccsnookersim, a snooker simulation with AI
 * Copyright (C) 2009 Enno Ruijters, Frans van den Heuvel, Yannick Thimister,
 * Ali B. Ozmen, Esther Verhoef, Achim Leydecker
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.

 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

import java.util.Random;

public class Util
{
	private static Random rng = new Random();

	public static double randomNormal(double mean, double stdDev)
	{
		double tmp = rng.nextGaussian();
		tmp *= stdDev;
		return tmp + mean;
	}

	public static double getRandomBoundedNormal(double mean, double stdDev,
	                                            double min, double max)
	{
		double tmp = randomNormal(mean, stdDev);
		if (tmp < min)
			return min;
		if (tmp > max)
			return max;
		return tmp;
	}
}
